Machine Learning Engineer - San Francisco California

Company: Tome
Location: San Francisco, California
Posted On: 02/02/2025

About TomeTome is a unified platform for enterprise sellers and account managers.We use state-of-the-art models to simplify complex research and strategic planning for sellers. Tome can surface the most actionable knowledge about a customer from within internal systems as well as from public information across thousands of data sources.Our system is tuned and customized by a team of experienced sellers, engineers, and researchers. Many of us worked on large-scale products at Llama, Messenger, Instagram, and LinkedIn before this.We design and build Tome in close partnership with our early customers-many of whom are mature enterprise sales orgs. We'll continue to work this way to ensure we build an enduring solution to longstanding problems in the industry.About the roleTome's AI/ML team builds the experiences at the core of our product, developing new applications to wow our customers.Today, the team focused on building a powerful, domain-specific AI that outperforms generic LLMs.We're inspired by the challenge of creating innovative new AI products for people doing serious work, and we're looking to grow our AI/ML team to meet that challenge.What you'll do

• Create and ship magical, highly-differentiated AI experiences that sales teams are eager to use
• Craft Tome's AI/ML strategy in tight collaboration with founders and execs
• Identify user needs that are well suited for AI/ML solutions, frame the problems, and collaborate with product leaders on solutions
• Prototype innovative, LLM-powered experiences, and drive their development into robust product features
• Help build a world class AI/ML engineering team by recruiting and mentoring teammatesWho you are
  • You have a BS or MS degree in CS, AI, or applied math
  • You have 5+ years of experience building AI/ML based products in NLP domains
  • You have a strong understanding of deep learning AI/ML frameworks or cloud services
  • You have hands-on ML Ops experienceBonus Points
    • Experience leading AI/ML product initiatives
    • Publications in applied AI/ML scientific journals
    • Experience navigating open source/vendor solutions in LLM ops space (LangChain, Llama, Pinecone, etc)
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